config.json

{
  "_name_or_path": "TuPy-Bert-Base-Multilabel",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "ageism",
    "1": "aporophobia",
    "2": "body_shame",
    "3": "capacitism",
    "4": "lgbtphobia",
    "5": "political",
    "6": "racism",
    "7": "religious_intolerance",
    "8": "misogyny",
    "9": "xenophobia",
    "10": "other",
    "11": "not_hate"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "ageism": 0,
    "aporophobia": 1,
    "body_shame": 2,
    "capacitism": 3,
    "lgbtphobia": 4,
    "misogyny": 8,
    "not_hate": 11,
    "other": 10,
    "political": 5,
    "racism": 6,
    "religious_intolerance": 7,
    "xenophobia": 9
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 0,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.35.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 29794
}